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TeraRecon Introduces its Advanced Eureka Clinical AI System

TeraRecon, one of the top industry leaders in state-of-the-art visualization and artificial intelligence (AI) for medical imaging, has launched its advanced Eureka Clinical AI system.

TeraRecon, one of the top industry leaders in state-of-the-art visualization and artificial intelligence (AI) for medical imaging, has launched its advanced Eureka Clinical AI system.

Image Credit: ktsdesign/

The Eureka Clinical AI system is engineered to assist the communication infrastructure and facilitate participation for the whole care team. It acts as an end-to-end clinical application incorporating several AI algorithms and workflows.

The new system backs dual desktop and mobile viewers for cross-specialty partnership and patient-specific sharing of AI outcomes to speed up access to mission-critical images and perceptions in a timely manner.

The AI system is exclusive in assisting third-party, customer-developed, and TeraRecon-created AI algorithms in a single unified workflow with comprehensible model-management features. An example of one such application is TeraRecon’s recently introduced TR Neuro for neurovascular emergencies.

A dedicated, universal viewer offers clinicians the option to instantly interact with the AI findings, including an exclusive and patented approval and rejection facility, before validating the AI findings to the enterprise reporting platform. TR Analytics supplements the Eureka Clinical AI system, thereby providing vital insights to track productivity and system utilization as well as the performance of individual AI algorithms.

We are excited with the Eureka Clinical AI platform and its capabilities in executing 3rd party AI algorithms, such as InferVision's InferRead CT Lung AI. I was especially impressed with the collaboration between Wake Radiology, TeraRecon, and InferVision to streamline procurement and deployment of the AI solution. This has led to efficient readings for our radiologists reducing the time it takes to review lung CT.

Matt Dewey, Chief Information Officer, Wake Radiology

“A high-performance AI ecosystem is fundamentally built on four key pillars. Comprehensive ability to host all forms of AI including customer-developed, TeraRecon-developed, and 3rd party algorithms,” Dan McSweeney, President of TeraRecon added.

Physician-centric in that the platform enables the clinician and reaffirms their role in the decision-making process and diagnosis. Integrated in that the AI platform can serve as the single point of access for consolidating AI solutions minimizing the burden to procure new AI algorithms, standardizing the deployment process, and seamlessly integrating into providers’ enterprise imaging systems.

Dan McSweeney, President, TeraRecon

“Finally, enable AI solution performance to be fully transparent to further provide confidence in AI and the scope of where it should be applied. These pillars must be built on a solid foundation of a vendor-agnostic platform that is AI-ready, scalable, secure, and robust. TeraRecon's solution is the only one on the market that delivers on these promises today,” Dan McSweeney concluded.

TeraRecon is recognized for its long history of innovating, developing, and presenting the most ideal KLAS advanced visualization solutions. TeraRecon is a leading manufacturer of AI-powered innovative visualization solutions customized to numerous specialties to assist physician efficiency, automate workflow, and potentially enhance outcomes.

Thus, TeraRecon currently serves over 1,300 health sites globally, delivering state-of-the-art solutions to enhance diagnosis and pre-treatment preparation. With the introduction of the Eureka Clinical AI system, TeraRecon enters into the AI system market, advancing its mission to deliver AI-driven solutions that enhance outcomes, simplify workflows, and minimize burnout for clinicians.

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